WaldMult: Multivariate Wald Test

In lcmm: Extended Mixed Models Using Latent Classes and Latent Processes

Multivariate Wald Test

Description

This function provides multivariate and univariate Wald tests for combinations of parameters from hlme, lcmm, multlcmm, Jointlcmm or mpjlcmm models.

Usage

WaldMult(Mod, pos = NULL, contrasts = NULL, name = NULL, value = NULL)

Arguments

Mod	an object of class hlme, lcmm, multlcmm, Jointlcmm or mpjlcmm
pos	a vector containing the indices in Mod$best of the parameters to test
contrasts	a numeric vector of same length as pos. If NULL (the default), a simultaneous test of the appropriate parameters is realised. If contrasts is specified, the quantity to test is the dot product of pos and contrasts.
name	a character containing the name the user wants to give to the test. By default, the name's test is the null hypothesis.
value	the value(s) to test against. By default, test against 0.

Value

If contrasts is NULL, the function returns a matrix with 1 row and 2 columns containing the value of the Wald test's statistic and the associated p-value.

If contrasts is not NULL, the function returns a matrix with 1 row and 4 columns containing the value of the coefficient (dot product of pos and contrasts), his standard deviation, the value of the Wald test's statistic and the associated p-value.

Author(s)

Cecile Proust-Lima, Lionelle Nkam and Viviane Philipps

lcmm documentation built on Oct. 7, 2023, 1:08 a.m.